• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Jul 2022

A successful candidate with 10 years of experience in the role of implementation of high end software products.

Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc..NoSQL stores like Cassandra, HBase etc) across Engagements and contributes to open source Big Data technologies.

Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).

Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms

Expert-level proficiency in at-least one of Java

Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)

Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI)

Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks

Evaluate and recommend Big Data technology stack best suited for customer needs

Drive significant technology initiatives end to end and across multiple layers of architecture

Provides strong technical leadership in adopting and contributing to open source technologies related to BigData across multiple engagements

Designing /architecting complex , highly available , distributed , failsafe compute systems dealing with considerable amount (GB/TB) of data

Identify and work upon incorporating Nonfunctional requirements into the solution (Performance , scalability , monitoring etc.)